Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mo'Tamad H. Bata"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Threats to water supply systems have increased in number and intensity. Natural disasters such as earthquakes have caused different types of damage to water distribution networks (WDN), particularly for those with aged infrastructure. This p
Externí odkaz:
https://doaj.org/article/7dbbdb8417f040da84af8bae97d9526a
Publikováno v:
Agriculture, Vol 7, Iss 12, p 104 (2017)
Forecasting crop water demand is a critical part of any greenhouse’s day-to-day operations. This study focuses on a region located in Essex County, Ontario Canada where water demand is dominated by commercial greenhouse operations (78% of capacity)
Externí odkaz:
https://doaj.org/article/6fd6ad4343994aca8f377e044660f377
Publikováno v:
PLOS ONE. 17:e0270182
Governments have implemented different interventions and response models to combat the spread of COVID-19. The necessary intensity and frequency of control measures require us to project the number of infected cases. Three short-term forecasting mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efd52894d64474b75516e80f741e8a90
https://doi.org/10.1371/journal.pone.0270182
https://doi.org/10.1371/journal.pone.0270182
Publikováno v:
Smart Water, Vol 5, Iss 1, Pp 1-18 (2020)
Regression Tree (RT) forecasting models are widely used in short-term demand forecasting. Likewise, Self-Organizing Maps (SOM) models are known for their ability to cluster and organize unlabeled big data. Herein, a combination of these two Machine L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::837c7e6c507cd7603666c9f26ebb72e9
https://doi.org/10.1186/s40713-020-00020-y
https://doi.org/10.1186/s40713-020-00020-y
Publikováno v:
Journal of Water Resources Planning and Management. 146
Short-term water demand forecasting models address the case of a real-time optimal water pumping schedule. This study focuses on developing artificial neural network (ANN) models to forecas...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::994f4da0e9abce15a20eb287c001b027
https://doi.org/10.1061/(asce)wr.1943-5452.0001165
https://doi.org/10.1061/(asce)wr.1943-5452.0001165
Publikováno v:
Agriculture, Vol 7, Iss 12, p 104 (2017)
Agriculture; Volume 7; Issue 12; Pages: 104
Agriculture; Volume 7; Issue 12; Pages: 104
Forecasting crop water demand is a critical part of any greenhouse’s day-to-day operations. This study focuses on a region located in Essex County, Ontario Canada where water demand is dominated by commercial greenhouse operations (78% of capacity)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5c16173ef2934311ef4785e5b86b1f4
https://www.mdpi.com/2077-0472/7/12/104
https://www.mdpi.com/2077-0472/7/12/104
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0270182 (2022)
Governments have implemented different interventions and response models to combat the spread of COVID-19. The necessary intensity and frequency of control measures require us to project the number of infected cases. Three short-term forecasting mode
Externí odkaz:
https://doaj.org/article/6a8acd7540394ad5858ad1f1da81382b